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Stability and reproducibility of radiomic features based on various segmentation techniques on cervical cancer DWI-MRI by Ramli, Zarina, Abdul Karim, Muhammad Khalis, Effendy, Nuraidayani, Abd Rahman, Mohd Amiruddin, Awang Kechik, Mohd Mustafa, Ibahim, Mohamad Johari, Mohd Haniff, Nurin Syazwina

“…In this research, the robustness of semi-automatic segmentation has been evaluated using a flood-fill algorithm for quantitative feature extraction, using 30 diffusion weighted MRI images (DWI-MRI) of cervical cancer patients. …”
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Radiomics based on habitat analysis in predicting parametrial invasion of early stage cervical cancer by Yang, Chongshuang, Li, Man, Yang, Changfu, Jiang, Peng, Yang, Changyi, Dai, Junfeng, Chen, Bing, Wang, Wei, Qin, Zhihong, Shi, Tianliang, Yi, Xin, Jin, Zhihai

“…Regions of interest were manually delineated on T2-weighted images, which were then segmented into sub-regions using a k-means clustering algorithm based on voxel intensity and entropy values. …”
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